whitepaper
awesome-vector-search
| whitepaper | awesome-vector-search | |
|---|---|---|
| 2 | 20 | |
| 11 | 1,284 | |
| - | 3.2% | |
| 2.2 | 5.7 | |
| about 2 years ago | 24 days ago | |
| - | MIT License |
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whitepaper
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George inspired me to build an open search engine protocol (Hammer). I'm dedicating the featured section to his clear, no BS thoughts.
Yes I believe it’s going to add some value in discovering useful information, to try out, go to https://aquila.network and click on join beta.
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Proposing a native interoperable search protocol for Web [seeking validation]
Here is the entire idea as whitepaper: https://github.com/Aquila-Network/whitepaper/blob/master/AquilaDB_white_paper.pdf
awesome-vector-search
- Show HN: SimSIMD vs. SciPy: How AVX-512 and SVE make SIMD cleaner and ML faster
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Reality check on good embedding model (and this idea in general)
Probably. But there are a number of free open source ones. For example, I've got a document that I'm doing embedding-keys for that has about 8000 sentences. Here's a list of some [ https://github.com/currentslab/awesome-vector-search ]
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Rye, meet GPT3 ... and vice versa :)
note: search for vector databases not written in Go but with Go clients, in case there is anything more local/lightweight: https://github.com/currentslab/awesome-vector-search
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Vector database built for scalable similarity search
https://github.com/currentslab/awesome-vector-search
I was surprised to see Elastic actually has ok support for some of this stuff, though it appears slower for most of the tasks.
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[P] My co-founder and I quit our engineering jobs at AWS to build “Tensor Search”. Here is why.
Supporting sequence of vectors does seems like a fresh air to the vector search service. I have added marqo to the list of awesome vector search (disclosure: I am the maintainer of the list) to increase your exposure.
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What are vector search engines?
If you want a proper curated list of various libraries and standalone services of vector search engines, refer to this awesome GitHub repository by Currents API.
- List of vector search libraries
- List of curated vector search libraries
- A GitHub repository that collects awesome vector search framework/engine, library, cloud service, and research papers
- Find anything fast with Google's vector search technology
What are some alternatives?
awesome-blockchain - ⚡️Curated list of resources for the development and applications of blockchain.
pgvector - Open-source vector similarity search for Postgres
white-paper - how will the protocol work?
annoy - Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Milvus - A cloud-native vector database, storage for next generation AI applications
hnswlib - Header-only C++/python library for fast approximate nearest neighbors
featureform - The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
vearch - Distributed vector search for AI-native applications
marqo - Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai
sample-apps - Repository of sample applications for https://vespa.ai, the open big data serving engine
Weaviate - Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.